Hi, Art, Thanks very much of doing this. The package is excellent!
I would really appreciate if you may consider moving the package to JuliaStats for broader participation (I think it is perfectly ready). Dahua On Saturday, July 26, 2014 9:38:03 AM UTC-5, [email protected] wrote: > > After deprecation of DimensionalityReduction.jl, I moved my work on > nonlinear dimensionality reduction techniques into new package: > ManifoldLearning.jl. Following the excellent example for the package > development, i.e. MultivariateStats > <https://github.com/JuliaStats/MultivariateStats.jl>, my package has API > consistent with JuliaStats guideline, documentation and tests. > > Currently, the following methods have been implemented: > > Isomap > Diffusion maps > Locally Linear Embedding (LLE) > Hessian Eigenmaps (HLLE) > Laplacian Eigenmaps (LEM) > Local tangent space alignment (LTSA) > > Github Address: https://github.com/wildart/ManifoldLearning.jl > Documentation: > http://manifoldlearningjl.readthedocs.org/en/latest/index.html > > The package has been registered at METADATA. > > -- Art >
